6 Openscap Jobs

Company Description Extreme Compute is India's first secure cloud service provider that combines high-speed computing with banking-grade security, storage solutions, multi-cloud, disaster recovery, and APM. Our integrated solutions eliminate the need for separate procurement and integration of each element. At Extreme Compute, we address the growing need for enterprise-grade cloud solutions that offer flexibility, scalability, simplicity, and vendor independence. Role Description We are looking to hire a seasoned Ansible Automation Expert with 10-15 years of experience in Linux infrastructure and automation. The ideal candidate will have deep command over Ansible, strong scripting ability, and a practical understanding of OpenSCAP or related compliance automation tools. This is a strategic role driving automation-first infrastructure and ensuring secure, scalable deployment practices. Key Responsibilities Design, build, and maintain Ansible playbooks, roles, and modules for infrastructure provisioning, configuration management, and application deployment. Lead infrastructure-as-code (IaC) practices across multi-environment setups (dev/test/prod). Collaborate with security teams to integrate OpenSCAP or other SCAP tools for compliance automation. Ensure idempotency, scalability, and reusability in all automation artifacts. Automate Linux system hardening, patching, and audit logging as per industry benchmarks. Provide technical leadership and mentorship to junior engineers on Ansible and automation best practices. Work closely with DevOps, Security, and Cloud teams for continuous integration and delivery. Required Skills: 10-15 years of overall IT infrastructure experience with a focus on Linux (RHEL/SLES/Ubuntu). Proven expertise in Ansible Core & Tower/AWX , including dynamic inventories, roles, conditionals, Jinja2 templating, and error handling. Experience in automating compliance/security policies using tools like OpenSCAP, SCAP Security Guide, or CIS Benchmarks. Strong knowledge of YAML, Bash/Shell scripting , and secure secrets handling (Ansible Vault, HashiCorp Vault). Deep understanding of CI/CD pipelines , GitOps workflows, and integration with Jenkins, GitLab, or similar tools. Solid grasp of RBAC, MFA, audit trails , and secure SSH practices in automation. Preferred skills (Good-to-have): Certifications like Red Hat Certified Specialist in Ansible Automation or RHCE . Hands-on with cloud platforms (AWS, Azure, GCP) and hybrid deployments. Familiarity with containerized environments (Docker, Kubernetes) and automating them with Ansible. Experience with monitoring, logging, and backup tools (Zabbix, ELK, Restic, etc.). Why Join Us: Work with cutting-edge automation and compliance tooling. Be part of a security-first, innovation-led infrastructure team. Opportunity to lead and shape automation practices in a high-impact role.

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 2962 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Hybrid AI) What do you need for this opportunity? Must have skills required: air-gapped Kubernetes, compliance enforcement, Hybrid cloud, Service Mesh, Zero Trust, Datacentre/ bare metal infrastructure, GPU / CPU optimization, Large Language Models (LLMs), OpenShift, VMware, Kubernetes Hybrid AI is Looking for: Our platform, designed by esteemed professors in AI/ML, industry CIOs, and brought to market by experienced software industry executives, addresses the critical challenges CIOs face in navigating the rapidly evolving AI & IT landscape. Join us at HybridAI and be part of a team that is shaping the future of AI infrastructure with innovation, expertise, and a commitment to excellence. Location : Remote Experience : 4-5 years Type : 3 months contract Role Overview: We are looking for a hands-on Infrastructure Engineer with deep expertise in VMware and OpenShift Kubernetes, combined with a proven track record of GPU and CPU optimization for high-performance workloads. The ideal candidate should have experience in deploying large language models (LLMs) on GPU-accelerated infrastructure, managing GPU allocation and tuning, and implementing Operators in OpenShift environments. The candidate should have a strong understanding of infrastructure security, with practical knowledge of ISO 27001 compliance, and a passion for working in fast-paced startup environments. The right candidate is both a builder and optimizer—comfortable getting deep into systems while aligning performance, security, and compliance goals.This role will report into the Direactor of AI and Software Engineering. Key Responsibilities: Create and manage development (Dev), UAT, and production (Prod) environments on bare metal and Red Hat Linux-based servers. Harden Linux servers for security compliance, ensuring systems pass VAPT (Vulnerability Assessment & Penetration Testing). Develop CI/CD pipelines from GitHub to Linux-based VMs running OpenShift Kubernetes clusters. Ensure high availability, observability, and proactive alerting for the HybridAI SaaS platform. Automate deployment of the HybridAI InfraMetrics Collector in customer on- prem environments. Work with VMware vCenter and Kubernetes Cluster APIs to manage infrastructure resources and automate deployments and provide guidance on VM Optimizations. Enable build cycles with expertise on virtualization, container orchestration, and hybrid infrastructure. Deploy LLMs on GPU infrastructure ensuring optimal resource allocation and scaling for AI-driven applications. Monitor infrastructure performance and implement proactive scaling solutions. Collaborate with Head of Software Engineering to enforce API security, access control, and compliance policies. Implement secure and compliant infrastructure aligned with ISO 27001 standards. Experience: 4+ years of hands-on DevOps and infrastructure engineering experience managing enterprise-grade datacenter environments. Strong experience with Red Hat Linux and bare metal infrastructure management. Expertise in Linux security hardening (firewall configuration, SELinux, system patching). Deep knowledge of OpenShift Kubernetes (OCP) and container orchestration. Hands-on experience in CPU/GPU profiling, resource allocation, and performance tuning Experience with infrastructure as code (Terraform, Ansible) Proficiency in CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for OpenShift & Linux-based deployments. Hands-on experience with VMware stack (ESXi, vCenter, vMotion) Cloud and on-prem experience, with exposure to AWS, GCP, Azure, and private cloud platforms. Scripting and automation expertise (Bash, Python, Powershell). Strong security background, including API security, authentication (OAuth, JWT, mTLS), and compliance with CIS benchmarks. Experience with any of observability and monitoring tools, including: ⁠NVIDIA DCGM, Prometheus & Grafana, ⁠ELK Stack, ⁠DataDog, Splunk, or AppDynamics Solid experience in ISO 27001 compliance, security best practices, and policy implementation Comfortable working in agile, very fast-paced startup environments with ownership of infra outcomes Nice-to-Have Skills Experience with service mesh architectures (Istio, Linkerd). Familiarity with Zero Trust security models. Exposure to air-gapped Kubernetes deployments for security-sensitive environments. Experience with automated compliance enforcement tools (OpenSCAP, Falco, Aqua Security). Knowledge of hybrid cloud networking (VPCs, VPNs, private links between on-prem and cloud). Hands-on experience with HashiCorp Vault for secrets management. Exposure to additional compliance frameworks such as SOC 2 or NIST Experience with AI/ML or HPC workloads beyond LLM applications How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less